Set a new pace for AI

With Snorkel Flow you’re no longer bottlenecked by training data. Programmatic labeling and data-centric workflows accelerate AI development.

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The platform for data centric AI development

The platform for data-centric AI development

The platform for data-centric AI development

  • Label programmatically to solve manual labeling bottlenecks
  • Continuously update and analyze models to guide development
  • Adapt to real-world changes with a few clicks, not manual relabeling
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“Snorkel Flow made the [clinical trial analytics] pipeline development a drag and drop experience.”

Michael DAndrea
Principal Data Scientist
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“Snorkel Flow made the [clinical trial analytics] pipeline development a drag and drop experience.”

Michael DAndrea
Principal Data Scientist
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The impact of Snorkel Flow
(in 60 seconds)

Your high-value experts have more to offer.
Today, you and your domain experts use insight and intuition to manually label (often complex) training data one by one. The process is slow, expensive, and the rich knowledge behind the labels is lost.

Snorkel Flow turns your expertise into a multiplier.

With Snorkel Flow, you distill expert knowledge into labeling functions. The platform applies and intelligently aggregates these human-driven functions to auto-label large training sets at computer speed.
Get more AI value to production.

With faster training data creation, model-guided iteration, and programmatic active learning, Snorkel Flow accelerates model development 10-100x. Your AI workflow becomes more efficient and adaptable so you keep pace with the needs of the business.

Label programmatically to solve manual labeling bottlenecks

AI applications require large, high-quality training datasets. With programmatic labeling you can auto-label at 10-100x scale while keeping your human expertise in the loop.
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Continuously update and analyze models to guide development

Iteration on both models and data is key to building successful AI. As you label, Snorkel Flow retrains ML models and provides actionable error analysis to guide rapid iteration and improvement.
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Put foundation models to use against performance-critical use cases

Bridge adaptation and deployment gaps to using foundation models with features to rapidly fine-tune and to distill their generalist knowledge into smaller, more accurate, specialist models for deployment.
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Enterprise ready, fully interoperable

Cloud-agnostic and fully interoperable with your existing ML stack via an extensive Python SDK and other endpoints. Snorkel Flow provides enterprise-grade security and governance, user-tailored workflows, and access to unparalleled expertise.

Data ingest

Quickly and securely integrate to data pipelines or upload data locally.

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Model training

Train custom models or choose from leading model frameworks with optional AutoML.

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Production serving

Deploy your models within Snorkel Flow or export to the service of your choice.

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Infrastructure

Host Snorkel Flow within the secure infrastructure of your choice.

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Learn more about enterprise readiness.

Additional platform benefits

Snorkel Flow accelerates accurate and adaptable AI application development and unlocks core data-centric AI benefits.
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Privacy-safe

Not only do you keep data in-house, you can reduce the number of data points exposed to human eyes.
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Governable

The sources contributing to every training label teaching your model are encoded and traceable.
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Reusable

Labeling functions, training sets, and application structures become assets you can reuse across AI problems.
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Collaborative

Data scientists and domain experts unite in a single platform for rich, ongoing partnership.
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Are you ready to dive in?

Label data programmatically, train models efficiently, improve performance iteratively, and deploy applications rapidly—all in one platform.
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